🎯 Data Scientist | MLOps Engineer | Researcher
Transforming data, infrastructure, and algorithms into measurable intelligence.
With a background in Mathematics, Statistics, and Computer Science, I bridge the gap between data analysis, machine learning, and scalable infrastructure.
I’m passionate about explainable AI, model observability, and designing systems that make intelligent decisions both transparent and secure.
- 🧩 Machine Learning & Data Science – model development, feature engineering, and interpretability
- ⚙️ MLOps & DevOps – CI/CD pipelines, model lifecycle automation, and cloud deployment
- 🧠 AI Security & Anomaly Detection – behavioral scoring, graph-based intelligence, and blockchain-integrated data validation
- 📊 Research & Experimentation – exploring crossovers between neuroscience-inspired models and modern AI frameworks
- Building explainable behavioral models for AI-generated content detection
- Enhancing observability in ML pipelines (Prometheus, Datadog, Grafana)
- Researching intent modeling and secure AI-agent communication
Languages: Python, SQL, Rust
Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn
Cloud & Infra: AWS, GCP, Terraform, Kubernetes
Data Tools: Pandas, Polars, Spark, MLflow, SageMaker
Visualization: Matplotlib, Seaborn, Plotly
- 🔒 Chagu Protocol — Secure data transformation and AI shielding framework
- 🛰 SARAD — Synthetic Aperture Radar anomaly detection using deep autoencoders
I’m open to research and collaboration on:
- ML observability & explainability
- Human-in-the-loop AI
- AI ethics and secure data-driven systems
📫 Contact: taimax13@gmail.com
🌐 LinkedIn | Medium | GitHub Projects
“My work blends data science, systems engineering, and curiosity — turning complex models into understandable decisions.”